Glimpse prediction networks yield scene representations aligned with human visual cortex
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A study published in Science Advances on 24 October 2026 reports that glimpse prediction networks (GPNs), which predict the embedding of the next glimpse along human-like scanpaths, can extract complex scene information such as object co-occurrences and spatial arrangements, and integrate information across glimpses. The resulting scene representations are aligned with human visual cortex activity, suggesting a link between predictive processing during eye movements and cortical representation of scenes. The approach models vision as it unfolds across fixations rather than from static whole-image input. How far such alignment generalizes across tasks, subjects and imaging measures remains to be tested.
Written by a model from the reports · updated 3 hours ago
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- Sci AdvPredicting upcoming visual features during eye movements yields scene representations aligned with human visual cortex.
Glimpse prediction networks (GPNs) predict the embedding of the next glimpse along human-like scanpaths, extracting complex scene information such as object co-occurrences and spatial arrangements, and integrate information across glimpses.
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